#1872 Senior Big Data Solutions Architect

Location: Austin, TX, us

Company Description

Esolvit is a global leader in consulting, technology, application development, outsourcing and staffing solutions. ESolvit has successfully delivered solutions of the highest quality to customers globally. We have strategic alliances with customers which enable them to gain a competitive advantage by providing end-to-end consulting, applications support, implementation and infrastructure services. Esolvit's objective is to integrate People, Process, Technology and Training. With our dedicated and efficient team of professionals with technical expertise and strong domain knowledge will be ready to serve the needs of our diverse clients. We help enterprises transform and thrive in a changing world through strategic consulting, operational leadership and the co-creation of breakthrough solutions, including those in mobility, sustainability, big data and cloud computing. Seamless delivery is ensured by our professionals, through the usage of proven methodologies, consistent practices, management disciplines, and business metrics. ESolvit helps customers to do business better leveraging our I ndustry-wide experience, deep technology expertise, comprehensive portfolio of services and a vertically aligned business model

Job Description

uration: Perm Hire

Basic Qualifications:

• Minimum of 8 years of work experience with Enterprise Architecture
• Minimum of 5 years of work experience with Big Data Architecture
• Minimum of 5 years of work experience with Hadoop, setup and implementation
• Minimum of 3 years of work experience with Active Directory, LDAP, and Identity Management Integration
• Hands on experience implementation big data solutions on Geospatial data

Preferred Skills:

• Expertise on architecting end-to-end big data solution based on variety of business use cases
• Past experience leading the implementation and operationalization of enterprise wide big data solution in a cross functional and cross technology/domain environment
• Strong preference with expertise on administration, configuration management, monitoring, debugging, performance tuning, technical resolution on Hadoop applications suit (Hadoop platform, MapReduce, Hive, HBase, Spark, Flume, Oozie, Tez, Ambari, Kafka, Pig, Accumulo, Storm, Falcon, Atlas, Scoop, NFS, WebFDS, Hue, Knox, Ranger, Impala, ZooKeeper)
• Database familiarity (Oracle, SQL Server, MySQL)
• Knowledge and/or experience on Java, Linux, PHP, Ruby, Phyton and/or R, Informatica, Tableau

Additional Information

All your information will be kept confidential according to EEO guidelines.